PENGARUH INTENSITAS PEMANFAATAN CHAT-GPT TERHADAP SELF-REGULATED LEARNING MAHASISWA DALAM PEMBELAJARAN MATERI KALKULUS
DOI: https://doi.org/10.30605/bp2s0773
ChatGPT, self-regulated learning, kalkulus.
Abstract
Penelitian ini bertujuan untuk menganalisis pengaruh intensitas pemanfaatan ChatGPT terhadap self-regulated learning (SRL) mahasiswa dalam pembelajaran materi kalkulus. Penelitian menggunakan pendekatan kuantitatif dengan desain korelasional. Populasi penelitian berjumlah 98 mahasiswa semester II Program Studi Ekonomi Syariah Universitas Sunan Drajat Lamongan, dengan sampel sebanyak 50 responden yang ditentukan menggunakan rumus Slovin dan teknik simple random sampling. Data dikumpulkan melalui kuesioner skala Likert yang mengukur intensitas pemanfaatan ChatGPT dan self-regulated learning. Analisis data dilakukan menggunakan statistik deskriptif dan regresi linear sederhana dengan bantuan SPSS. Hasil penelitian menunjukkan bahwa intensitas pemanfaatan ChatGPT memiliki hubungan positif dan signifikan dengan self-regulated learning mahasiswa (r = 0,587; p < 0,05). Analisis regresi menunjukkan bahwa intensitas pemanfaatan ChatGPT berkontribusi sebesar 34,5% terhadap variasi self-regulated learning mahasiswa (R² = 0,345). Temuan ini mengindikasikan bahwa semakin tinggi intensitas pemanfaatan ChatGPT dalam pembelajaran kalkulus, semakin tinggi pula kemampuan mahasiswa dalam mengatur, memantau, dan mengevaluasi proses belajarnya secara mandiri. Oleh karena itu, pemanfaatan ChatGPT secara tepat dapat menjadi salah satu sarana yang mendukung pengembangan self-regulated learning mahasiswa di perguruan tinggi.
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References
Azevedo. (2024). Measuring and modeling self-regulated learning in AI-assisted environments. Educational Psychologist, 59(1), 18–35.
Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62. DOI: https://doi.org/10.61969/jai.1337500
Bressoud, D., Mesa, V., & Rasmussen, C. (2015). Insights and recommendations from the MAA national study of college calculus. In Mathematical Association of America. DOI: https://doi.org/10.5951/mathteacher.109.3.0178
Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science Education and Technology, 32(3), 444–452. DOI: https://doi.org/10.1007/s10956-023-10039-y
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01 DOI: https://doi.org/10.1207/S15327965PLI1104_01
Frieder, S., Pinchetti, L. (2023). Mathematical capabilities of ChatGPT. ArXiv. https://doi.org/10.48550/arXiv.2301.13379
Kasneci, E., E. al. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. In Learning and Individual Differences. DOI: https://doi.org/10.1016/j.lindif.2023.102274
Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? The International Journal of Management Education, 21(2), 100790. DOI: https://doi.org/10.1016/j.ijme.2023.100790
Molenaar, I. (2023). Artificial intelligence assisted self-regulated learning: A systematic framework. Review of Educational Research, 93(4), 511–545.
Nota, L., Soresi, S., & Zimmerman, B. J. (2004). Self-regulation and academic achievement and resilience: A longitudinal study. International Journal of Educational Research, 41(3), 198–215. DOI: https://doi.org/10.1016/j.ijer.2005.07.001
OpenAI. (2023). GPT-4 technical report. ArXiv.
Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.). Handbook of self-regulation (pp. 451–502). Academic Press. DOI: https://doi.org/10.1016/B978-012109890-2/50043-3
Su, J., & Yang, W. (2023). Unlocking the power of ChatGPT: A framework for AI-assisted self-regulated learning in higher education. Australasian Journal of Educational Technology, 39(5), 89–104.
Wardat. (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), em2286. DOI: https://doi.org/10.29333/ejmste/13272
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0 DOI: https://doi.org/10.1186/s41239-019-0171-0
Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary Educational Psychology, 25(1), 82–91. https://doi.org/10.1006/ceps.1999.1016 DOI: https://doi.org/10.1006/ceps.1999.1016
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